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Add facial recognition and biometric identification features to your applications. FaceSDK is a multi-platform library enabling Microsoft Visual C++, C#, Objective C, VB, Java and Delphi developers implement fast and precise face recognition and identification in their applications. Working in 32-bit and 64-bit systems, FaceSDK is used to build Web, Windows, Linux, Mac OS X, iOS and Android applications, and enables face-based biometric...



Add facial recognition and biometric identification features to your applications. FaceSDK is a multi-platform library enabling Microsoft Visual C++, C#, Objective C, VB, Java and Delphi developers implement fast and precise face recognition and...



Real-time biometric facial recognition and pedestrian or vehicle tracking in live video streams. Supports up to 10 IP cameras on one PC.
Available as SDK (software developing kit) for technology integration into small and large surveillance...



This work present a new inteface GUI for the system identification in open loop, the work is based in the first 14 chapters of the jang book, is alternative windows for the matlab ident using the system identification toolbox.



System identification toolbox provided with MATLAB is a very easy to use feature that helps to identify the transfer function of black box system. This guide will provide a quick start to that. it will serve as a launchpad to more detailed...



This Face Recognition System uses Kekre Transform for Face recognition depicted through a GUI.This GUI depicts the face recognition system developed through feature extraction by Kekre Transform Algorithm. There are several functions that are...



Project:1D signal:Identification of PieceWise Linear by multiple regression

Detection of homogeneous zone using entropie
Projection in the Hough space (1D) I/O

Inputs: 1D signal (xe,ye)
Simulated data (Figure...



his simulation shown the system identification of an FIR and also the actual and estimated coefficients



The code will work with the images which don't have much brightness variation on the face.the face must be properly enlighten.
The output of this code is mainly required for feature detection or facial expression recognition purpose.



These files support the webinar titled "Developing Models from Experimental Data Using System Identification Toolbox". The webinar was presented on April 05, 2007 and can be found at:
http://www.mathworks.com/wbnr30317



face recogntion technology.



This program is the clone of 'Face Detection System' in MATLAB
but instead of Neural Networks, It is based on Support Vector Machine (SVM)

Face Detection System (Neural Network)



3 images, see "thermal image object identification" message at newsgroup



This book focuses on the theory, implementation, and applications of subspace identification algorithms for linear time-invariant finite-dimensional dynamical systems.

For a full book description and ordering information, please refer...



This is a small but powerful tool for multivariable subspace identification. It implements the so called Multivariable Output Error State Space algorithm.

The identification is carried out in two steps by using the nested function...



Mu-Tools based Multivariable System Identification

The Musysid folder contains some useful tools for :
- black box MIMO system identification
- state space system fitting from a given frequency response
- converting...



This code is PCA base face recognition programme. It reads nots(here 5) faces from ORL database and the rest (noc-nots) are used as test. PCA_Performance shows the recognition performance.

In order to be able to run this programme for...



The INFace (Illumination Normalization techniques for robust Face recognition) toolbox is a collection of Matlab functions and scripts intended to help researchers working in the filed of face recognition. The toolbox was produced as a byproduct...



fdlibmex is a very simple face detection library for matlab. No toolboxes are required. The library consists of a single mex file with a single function that takes an image as input and outputs the locations of the frontal faces in the image.



I noticed most people here used OpenCV in MATLAB and said they did face detection. Those who did it by themselves had a bunch of code that was not understandable. I made a website www.ece301.com which explains in detail my code for face detection...